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Survey on Deep Learning Based Natural Language Interface to Database 基于深度学习的自然语言数据库接口研究综述
Q3 Computer Science
计算机研究与发展
Pub Date : 2021-09-01 DOI: 10.7544/ISSN1000-1239.2021.20200209
Pan Xuan, Xue Sihan, Cai Xiangrui, Wen Yanlong, Yu Xiaojie
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引用次数: 3
Survey of Adversarial Attack, Defense and Robustness Analysis for Natural Language Processing 自然语言处理的对抗性攻击、防御和鲁棒性分析综述
Q3 Computer Science
计算机研究与发展
Pub Date : 2021-08-01 DOI: 10.7544/ISSN1000-1239.2021.20210304
Zheng Haibin, Chen Jinyin, Zhang Yan, Z. Xuhong, Ge Chunpeng, Liu Zhe, Ou Yike, Ji Shouling
{"title":"Survey of Adversarial Attack, Defense and Robustness Analysis for Natural Language Processing","authors":"Zheng Haibin, Chen Jinyin, Zhang Yan, Z. Xuhong, Ge Chunpeng, Liu Zhe, Ou Yike, Ji Shouling","doi":"10.7544/ISSN1000-1239.2021.20210304","DOIUrl":"https://doi.org/10.7544/ISSN1000-1239.2021.20210304","url":null,"abstract":"","PeriodicalId":35747,"journal":{"name":"计算机研究与发展","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46772973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A Hierarchical Knowledge Based Topic Recommendation Method in Public Opinion Scenario 基于层次知识的舆情场景主题推荐方法
Q3 Computer Science
计算机研究与发展
Pub Date : 2021-08-01 DOI: 10.7544/ISSN1000-1239.2021.20190749
Shi Cunhui, Huang Yaokang, Feng Bin, Zhang Jin, Yue Xiaoming, Liu Yue, Cheng Xueqi
{"title":"A Hierarchical Knowledge Based Topic Recommendation Method in Public Opinion Scenario","authors":"Shi Cunhui, Huang Yaokang, Feng Bin, Zhang Jin, Yue Xiaoming, Liu Yue, Cheng Xueqi","doi":"10.7544/ISSN1000-1239.2021.20190749","DOIUrl":"https://doi.org/10.7544/ISSN1000-1239.2021.20190749","url":null,"abstract":"","PeriodicalId":35747,"journal":{"name":"计算机研究与发展","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46534801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Knowledge Hypergraph Link Prediction Model Based on Tensor Decomposition 基于张量分解的知识超图链接预测模型
Q3 Computer Science
计算机研究与发展
Pub Date : 2021-08-01 DOI: 10.7544/ISSN1000-1239.2021.20210315
Wang Peiyan, Duan Lei, Guo Zhengshan, Jiang Weipeng, Zhang Yidan
{"title":"Knowledge Hypergraph Link Prediction Model Based on Tensor Decomposition","authors":"Wang Peiyan, Duan Lei, Guo Zhengshan, Jiang Weipeng, Zhang Yidan","doi":"10.7544/ISSN1000-1239.2021.20210315","DOIUrl":"https://doi.org/10.7544/ISSN1000-1239.2021.20210315","url":null,"abstract":"","PeriodicalId":35747,"journal":{"name":"计算机研究与发展","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49487178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Webpage Fingerprinting Identification on Tor: A Survey Tor网页指纹识别研究综述
Q3 Computer Science
计算机研究与发展
Pub Date : 2021-08-01 DOI: 10.7544/ISSN1000-1239.2021.20200498
Sun Xueliang, Huang Anxin, Luo Xiapu, Xie Yi
{"title":"Webpage Fingerprinting Identification on Tor: A Survey","authors":"Sun Xueliang, Huang Anxin, Luo Xiapu, Xie Yi","doi":"10.7544/ISSN1000-1239.2021.20200498","DOIUrl":"https://doi.org/10.7544/ISSN1000-1239.2021.20200498","url":null,"abstract":"","PeriodicalId":35747,"journal":{"name":"计算机研究与发展","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44893886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Butterfly Species Identification from Natural Environment Based on Improved RetinaNet 基于改进的RetinaNet的自然环境蝴蝶物种识别
Q3 Computer Science
计算机研究与发展
Pub Date : 2021-08-01 DOI: 10.7544/ISSN1000-1239.2021.20210283
Xie Juanying, Lu Yinyuan, Kong Weixuan, Xu Shengquan
{"title":"Butterfly Species Identification from Natural Environment Based on Improved RetinaNet","authors":"Xie Juanying, Lu Yinyuan, Kong Weixuan, Xu Shengquan","doi":"10.7544/ISSN1000-1239.2021.20210283","DOIUrl":"https://doi.org/10.7544/ISSN1000-1239.2021.20210283","url":null,"abstract":"","PeriodicalId":35747,"journal":{"name":"计算机研究与发展","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49209883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Deep Interactive Image Segmentation Based on Fusion Multi-Scale Annotation Information 基于融合多尺度标注信息的深度交互式图像分割
Q3 Computer Science
计算机研究与发展
Pub Date : 2021-08-01 DOI: 10.7544/ISSN1000-1239.2021.20210195
Ding Zongyuan, Sun Quansen, Wang Tao, Wang Hong-yuan
{"title":"Deep Interactive Image Segmentation Based on Fusion Multi-Scale Annotation Information","authors":"Ding Zongyuan, Sun Quansen, Wang Tao, Wang Hong-yuan","doi":"10.7544/ISSN1000-1239.2021.20210195","DOIUrl":"https://doi.org/10.7544/ISSN1000-1239.2021.20210195","url":null,"abstract":"","PeriodicalId":35747,"journal":{"name":"计算机研究与发展","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44048515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Survey of OpenFlow Switch Flow Table Overflow Mitigation Techniques OpenFlow开关流表溢出缓解技术综述
Q3 Computer Science
计算机研究与发展
Pub Date : 2021-07-01 DOI: 10.7544/ISSN1000-1239.2021.20200480
Xie Shengxu, Xing Changyou, Zhang Guomin, Song Lihua, Hu Guyu
{"title":"Survey of OpenFlow Switch Flow Table Overflow Mitigation Techniques","authors":"Xie Shengxu, Xing Changyou, Zhang Guomin, Song Lihua, Hu Guyu","doi":"10.7544/ISSN1000-1239.2021.20200480","DOIUrl":"https://doi.org/10.7544/ISSN1000-1239.2021.20200480","url":null,"abstract":"","PeriodicalId":35747,"journal":{"name":"计算机研究与发展","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43402761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Quantitative Analysis on the Communication of COVID-19 Related Social Media Rumors 新冠肺炎相关社交媒体谣言传播的定量分析
Q3 Computer Science
计算机研究与发展
Pub Date : 2021-07-01 DOI: 10.7544/issn1000-1239.2021.20200818
H. Chen, S. Jin, W. Lin, Z. Zhu, L. Tong, Y. Liu, Y. Ye, W. Jiang, Z. Liu, M. Sun, J. Jin
The outbreak of the COVID -19 pandemic is accompanied by numerous rumors spreading on the social media platform, which seriously affects the stability of society and the safety of public. Existing quantitative analyses of COVID -19 related social media rumors only focus on single element of communication, such as content, while ignoring other basic elements of communication, including communicator, audience, and effect. Besides, compared with the real social media rumor data, the rumor data of these studies have distribution bias and lack of information. Therefore, we conduct a more comprehensive quantitative analysis on the communication of COVID -19 related social media rumors based on the Sina Weibo platform. Specifically, we first analyze the communication content of rumors, including the analysis of the topic, involved regions, event tendency and sentiment. Further, we investigate the users engaged in rumor communication and divide the users into three categories, namely, rumor posters, rumor spreaders, and rumor informers. We explore the basic attributes, topic preferences, individual sentiments, and self-network characteristics of the engaged users. Finally, we study the public opinion triggered by rumors, including the overall sentiment distribution, its correlation with topics, keywords and regions, as well as the evolution of sentiment. To conclude, this study first quantitatively analyzes COVID -19 related social media rumors from the perspective of different basic elements in communication. It provides a more comprehensive and profound understanding of COVID -19 related social media rumors and is of great value for both research and management of rumor in public emergencies. © 2021, Science Press. All right reserved.
随着新冠肺炎疫情的爆发，社交媒体平台上流传着大量谣言，严重影响了社会稳定和公众安全。现有对COVID-19相关社交媒体谣言的定量分析仅关注传播的单一元素，如内容，而忽略了传播的其他基本元素，包括传播者、受众和效果。此外，与真实的社交媒体谣言数据相比，这些研究的谣言数据存在分布偏差和信息缺乏。因此，我们基于新浪微博平台对COVID-19相关社交媒体谣言的传播进行了更全面的定量分析。具体来说，我们首先分析谣言的传播内容，包括对话题、涉及地区、事件倾向和情绪的分析。此外，我们对从事谣言传播的用户进行了调查，并将用户分为三类，即谣言海报、谣言传播者和谣言告密者。我们探讨了参与用户的基本属性、话题偏好、个人情感和自我网络特征。最后，我们研究了谣言引发的舆论，包括总体情绪分布，它与话题、关键词和地区的相关性，以及情绪的演变。总之，本研究首先从传播的不同基本要素的角度对COVID-19相关社交媒体谣言进行了定量分析。它对COVID-19相关社交媒体谣言有了更全面、更深刻的理解，对突发公共事件谣言的研究和管理具有重要价值。©2021，科学出版社。保留所有权利。
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引用次数: 2
Survey of Deep Learning Based Graph Anomaly Detection Methods 基于深度学习的图异常检测方法综述
Q3 Computer Science
计算机研究与发展
Pub Date : 2021-07-01 DOI: 10.7544/ISSN1000-1239.2021.20200685
Chen Bofeng, Li Jingdong, Lu Xingjian, Sha Chaofeng, Wang Xiaoling, Zhang Ji
{"title":"Survey of Deep Learning Based Graph Anomaly Detection Methods","authors":"Chen Bofeng, Li Jingdong, Lu Xingjian, Sha Chaofeng, Wang Xiaoling, Zhang Ji","doi":"10.7544/ISSN1000-1239.2021.20200685","DOIUrl":"https://doi.org/10.7544/ISSN1000-1239.2021.20200685","url":null,"abstract":"","PeriodicalId":35747,"journal":{"name":"计算机研究与发展","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41798931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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